• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2007년도 추계 학술대회논문집
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• pp.88-91
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• 2007

In the shape design optimization of an airfoil, the shape function has been used to find the optimal airfoil shape for given conditions. The parameters determining the airfoil shape are used in the shape design optimization as design variables. However, they usually don't have physical meaning. The PARSEC (Parametric Shapes) function is a recently proposed shape function and its parameters have the physical meaning. In this study the usefulness of the PARSEC is tested for the RAE2822 airfoil in the transonic flow region to reduce the shock strength and the result is compared with Hicks-Henne function. The optimized airfoils reduce the shock strength and they show similar result.

• 한국전산유체공학회지
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• 제17권2호
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• pp.28-34
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• 2012

In this study, the reliability-based design optimization of the airfoil was performed. PARSEC function was used to consider the uncertainty of the aerodynamic shape for the reliability-based shape optimization of airfoils. Among various reliability analysis methods, the moment method was used to compute the probability of failure of the aerodynamic performance. The accuracy of the reliability analysis was compared with other methods and it was found that the moment method predicts the probability of failure accurately. Deterministic and reliability-based optimizations were performed for the shape of the airfoil and it was demonstrated that reliability-based optimum assures the aerodynamic performances under uncertainties of the shape of the airfoil.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2010년 춘계학술대회논문집
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• pp.50-54
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• 2010

In this study, reliability-based design optimizations of airfoils were performed. PARSEC function was used to consider the uncertainty of the aerodynamic shape for the reliability-based shape optimization of airfoils. Among aerodynamic performance. The accuracy of the reliability analysis was compared with other method and it was found that the moment method predicts the probability accurately. Deterministic and reliability-based optimizations were performed for shape of the RAE2822 airfoil and it was demonstrated that reliability-based optimizations the aerodynamic performances under uncertainties of the shape of the airfoil.

• 한국컴퓨터정보학회논문지
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• 제11권2호
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• pp.35-42
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• 2006

본 논문에서는 Parsec을 이용하여 병렬디지털신호처리용 분산공유메모리 다중처리시스템의 성능 분석을 위한 시뮬레이터를 구현한다. 이 시뮬레이터의 특징은 TMS320C6701 DSP 칩의 DMA 기능과 빠른 접근시간을 가진 지역메모리를 사용하는 시스템의 시뮬레이션에 적합하다는 것이다. 또한 시스템의 성능 매개변수 수정과 하드웨어 구성요소들에 대한 재구성이 쉽기 때문에 다양한 실행 환경에서 시스템의 성능을 분석할 수 있다. 시뮬레이션에서는 DSP 알고리즘에서 널리 사용하는 FET, 2D FET, Matrix Multiplication, Fir Filter를 사용하여 프로세서의 수 데이터 크기, 하드웨어 요소의 변화에 따른 실행 시간을 측정한다. 그리고 그 결과를 비교함으로써 본 논문에서 구현한 시뮬레이터의 성능을 검증한다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(A)
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• pp.140-142
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• 2012

리눅스 환경에서는 빠른 개발 및 디버깅을 위한 다양한 시스템 도구들이 존재하는데 라이브러리 함수 호출을 추적할 수 있는 도구로는 ltrace 가 널리 사용되고 있다. 현재 제공되는 ltrace 에는 ARM 리눅스 환경에 대한 지원이 있지만 커널 내부의 기능 미구현으로 정확한 동작을 하지 않는 상태이다. 본 논문에서는 현재 ltrace 가 ARM 리눅스 환경에서 갖는 문제점을 제시하고, 이에 대한 방안을 ltrace 의 내부에 직접 구현하여 문제없이 실행 가능하도록 한다. 이를 통해 실제 ARM 리눅스 환경에서 Parsec 벤치마크의 7개 프로그램을 실행하고, 각 프로그램의 라이브러리 함수 호출을 추적하여 정상적으로 동작함을 보인다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2008년도 춘계학술대회논문집
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• pp.377-380
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• 2008

In this study, an aerodynamic shape optimization system was developed to study the optimal shape of airfoil. The system consists of GA (Genetic Algorithm) and CFD code based on the Navier-Stokes equation. Lift-drag ratio is chosen as the object function and optimization is conducted for PARSEC airfoil with nine design variables, which is very efficient in representing the surface geometry of airfoil.

• 천문학회지
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• 제29권spc1호
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• pp.119-122
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• 1996

The case for a massive black hole in the center of the Galaxy is reassessed using improved modeling techniques and observational data. A dark mass of ${\~}{\times} 10^6$ Mo is present within 0.2 pc of the Galactic center. However, the available data can be modeled, without appealing to a massive black hole, using an extended distribution of dark stellar remnants (neutron stars and stellar mass black holes) provided that the stellar initial mass function in the central parsec is deficient in stars less massive than $\~$1 Mo. Such a situation may be a natural consequence of repeated gas build-up followed by starbursts in the central region. A clear distinction between this and the massive central black hole model cannot be made using red giant tracers outside 0.2 pc due to uncertainties in the radial velocity dispersion distribution. The cluster of massive early-type emission-line stars in the central parcsec more effectively probe the mass distribution close to Sgr A $\ast$, but their small number and partial rotational support complicate mass determinations. Proper motion determinations for stars within 0.5' of Sgr A$\ast$ may be the most effective means of unambiguously determining the mass distribution in the immediate vicinity of the Galactic center.

• 천문학회보
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• 제43권1호
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• pp.57.2-57.2
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• 2018

We present the preliminary result from our KVN single-dish observations of the MALATANG sample. The MALATANG (Mapping the dense molecular gas in the strongest star-forming Galaxies) is one of the JCMT legacy surveys on the nearest 23 IR-brightest galaxies beyond the Local Group. The goal of the MALATANG survey is to map the sample in the dense gas tracers (HCN and HCO+J=4-3), and probe the relationships between the dense molecular gas and star formation activities. As a complementary study, we recently launched a KVN/KaVA program on the same sample, in order to measure their flux densities and parsec-scale jet/outflows in the millimeter regime, which will be greatly useful in understanding the initial conditions of the feedback process. In this work, we present the preliminary result from our pilot KVN single-dish program on a sub-sample, which will be used to select the future VLBI imaging study under plan. We investigate the KVN spectral energy distributions (SED) of the sample as a function of the power source of the luminous IR brightness of each target (starburst? AGN? or hybrid?). We also discuss the technical challenges that we experienced during our KVN observations due to the large size of the sample in the sky.